Data Science

Course Description

The term data science was coined at the beginning of the 21st century, and it is a fairly young field of science and technology. Over the past few decades, data science has increasingly become popular all over the world. It has become the part and parcel of every business model. All forms of data run the world, be it personal data, website data, or behavioural data.
Data science is a complex and intricate field. It consists of structuring and analyzing large-scale volumes of data, applying machine learning to make predictions, identifying patterns, and drawing conclusions. Data scientists are needed in business, manufacturing, and science. They work with such essential tools as Python and its libraries, including Scikit-Learn, Jupyter Notebook, and SQL.

What You’ll Learn From This Course

• Learn the foundations of data analysis, including data exploration, cleaning, and visualization. Acquire the skills to identify patterns, trends, and correlations within datasets, setting the stage for informed data-driven decision-making.
• Delve into statistical techniques and machine learning algorithms. Understand how to build predictive models and discover valuable insights from data. Explore regression, classification, clustering, and other key methodologies.
• Gain proficiency in handling large-scale data using Big Data technologies. Learn to work with distributed computing frameworks like Hadoop and Spark, enabling you to process and analyze data efficiently.
• Master the art of presenting complex data insights through compelling visualizations. Develop the ability to communicate findings effectively to non-technical stakeholders, empowering them to make data-informed choices.

Certification

Upon successful completion, this Data Science course will provide you with a certificate recognized by the STED Council. The certificate adds value and recognition to your achievement, as STED Council is a reputable and internationally recognized accreditation body. Your certification will reflect your competence in AI and align with global standards, further enhancing your credibility in the field.